Learning to Learn: Reinforcement Learning Explained for Humans

Learning to Learn: Reinforcement Learning Explained for Humans

Machine Learning

Artificial Intelligence Neural Networks & Deep Learning: Machine Learning

Machine Learning: Inference & Knowledge Representation (tech research)

Training LLM Models with Transformers

Data Science To AI: Advanced Machine Learning Techniques Explained

Deep Learning: Lecture Note

Deep Learning: Lecture Note

Handbook of Reinforcement Learning

Reinforcement Learning & Optimal Control: Theorems, Proofs, and Python Implementations (Computational Mathematics Library)

Python-based Machine Learning: Mathematical Analysis and Prediction

Reinforcement Learning: Theory and Applications

CRC Press Reinforcement Learning Explained - Practical Guide

CRC Press

Neural Networks (Advanced Computer Science)

Reinforcement Learning: Foundations and Applications

Reinforcement Learning: Foundations and Applications

Machine Learning Engineering Mastery: From Mathematical Foundations to Production-Grade AI Systems with MLOps, Deep Learning & Modern AI Tools

Python Machine Learning Essentials (Programming, Data Analysis, and Machine Learning)

Generative Adversarial Networks (GANs) Explained

Evolving Intelligence: Building Self-Improving AI Agents.

Introducción a DEEP LEARNING: Algoritmos, Arquitecturas y Aplicaciones Prácticas en Python

Mastering Deep Learning: From Fundamentals to Cutting-Edge AI (The Professional Tech Skill Stack Series)

Software Engineering for Machine Learning in Health Informatics

Information Theory for Modern Machine Learning: From Theory to Python Practice